docstr: Compute distance between two points in this space. Both `point_a` and `point_b` are
  expected to be of the same length as :attr:`dimensions`, with values corresponding to the
  `Dimension` bounds of :attr:`dimensions`
  
  Parameters
  ----------
  point_a: List
      First point
  point_b: List
      Second point
  
  Returns
  -------
  Number
      Distance between `point_a` and `point_b`
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code: def distance(self, point_a, point_b):
      """Compute distance between two points in this space. Both `point_a` and `point_b` are
      expected to be of the same length as :attr:`dimensions`, with values corresponding to the
      `Dimension` bounds of :attr:`dimensions`
  
      Parameters
      ----------
      point_a: List
          First point
      point_b: List
          Second point
  
      Returns
      -------
      Number
          Distance between `point_a` and `point_b`"""
      distance = 0.0
      for a, b, dim in zip(point_a, point_b, self.dimensions):
          distance += dim.distance(a, b)
  
      return distance
  
imports: from hyperparameter_hunter.space.dimensions import Dimension, Real, Integer, Categorical
  from hyperparameter_hunter.utils.general_utils import short_repr
  from functools import reduce
  import numbers
  import numpy
  from sys import maxsize
  from sklearn.utils import check_random_state
  from sklearn.utils.fixes import sp_version
label_desc: Use image node_id 18 for calling the Space obj's underlying member method code with example usage: obj.distance(point_a, point_b) and returns: distance